Glucose determination using amperometric non-enzymatic sensor based on electroactive poly(caffeic acid)@MWCNT...

Area of Science:

• Electrochemistry
• Nanomaterials Science
• Biosensing

Background:

• Development of sensitive and selective glucose sensors is crucial for diabetes management.
• Non-enzymatic glucose sensors offer advantages over enzyme-based systems, such as improved stability and lower cost.
• Nanomaterials integration enhances sensor performance through synergistic effects.

Purpose of the Study:

• To develop a novel non-enzymatic glucose sensor using poly(caffeic acid)@multi-walled carbon nanotubes decorated with CuO nanoparticles (PCA@MWCNT-CuO).
• To characterize the nanomaterial and evaluate its performance for glucose detection in various solutions and biological samples.

Main Methods:

• Fabrication of PCA@MWCNT-CuO nanocomposite via Cu(II) complexation and electrochemical CuO deposition.
• Characterization using TEM, EDS, AFM, Raman spectroscopy, and ICP-MS.
• Electrochemical evaluation of glucose sensing performance, including sensitivity, linear range, and limit of detection.

Main Results:

• The PCA@MWCNT-CuO electrode demonstrated high sensitivity (2412 μA mM⁻¹ cm⁻²).
• A broad linear range (2 μM to 9 mM) and a low limit of detection (0.43 μM) were achieved.
• Accurate and precise glucose quantification in human serum and blood samples (95.0–99.5% recovery).

Conclusions:

• The synergistic effect of PCA, MWCNTs, and CuO contributes to excellent glucose detection properties.
• The developed sensor offers a novel, simple, and low-cost approach for amperometric glucose sensing.
• The sensor shows significant potential for practical applications in clinical diagnostics.